nonprobsvy: Inference Based on Non-Probability Samples
Statistical inference with non-probability samples when auxiliary information from external sources such as probability samples or population totals or means is available. The package implements various methods such as inverse probability (propensity score) weighting, mass imputation and doubly robust approach. Details can be found in: Chen et al. (2020) <doi:10.1080/01621459.2019.1677241>, Yang et al. (2020) <doi:10.1111/rssb.12354>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Yang et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm> and Wu (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>.
| Version: |
0.2.1 |
| Depends: |
R (≥ 4.0.0), survey |
| Imports: |
maxLik, stats, Matrix, MASS, ncvreg, RANN, Rcpp (≥ 1.0.12), nleqslv, doParallel, foreach, parallel, formula.tools |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
tinytest, covr, spelling |
| Published: |
2025-04-22 |
| DOI: |
10.32614/CRAN.package.nonprobsvy |
| Author: |
Łukasz Chrostowski [aut, ctb],
Maciej Beręsewicz 
[aut, cre],
Piotr Chlebicki
[aut, ctb] |
| Maintainer: |
Maciej Beręsewicz <maciej.beresewicz at ue.poznan.pl> |
| BugReports: |
https://github.com/ncn-foreigners/nonprobsvy/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/ncn-foreigners/nonprobsvy,
https://ncn-foreigners.github.io/nonprobsvy/ |
| NeedsCompilation: |
yes |
| Language: |
en-US |
| Citation: |
nonprobsvy citation info |
| Materials: |
README NEWS |
| In views: |
OfficialStatistics |
| CRAN checks: |
nonprobsvy results |
Documentation:
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